With a multitude of options available, beginning the journey with AI Healthcare Companies can be daunting. These companies promise unique benefits and workflow enhancements by utilizing AI. They cater to various sub-specialties, like surgical robotics, fintech and insurance, diagnostics, cybersecurity, text analysis, and conversational AI/bots.
AI holds the promise of improving and quickening clinical workflows, resulting in a positive effect on patient outcomes. Therefore, to make full use of AI, health systems ought to clearly outline why AI is the right choice for them and identify the metrics they wish to improve with AI.
For instance, AI can optimize Radiology workflows. As radiologists are central to numerous clinical AI activities, it has become a testing area to understand the value an AI-supported read room may add to the patients and health systems. Faster diagnosis, improved accuracy, and quicker throughput are some benefits. In addition, it helps discover incidental findings that lead to apt clinical interventions.
AI also helps reducing time to diagnosis, which not only enhances workflow efficiency, but might also help reduce clinician burnout. The use of clinically integrated AI in extracting key radiology reports data has shown to shorten read times and deal with the challenges of radiologist shortage and increasing imaging volume.
AI can also improve turnaround time. AI-supported triage has been shown to optimize patient care by speeding up report turnaround time, enhancing emergency department throughput, and cutting the time to treatment.
While selecting an AI partner, health systems should carefully assess their next step in their AI journey. The quality of the relationship with the AI partner is pivotal. Some key questions to consider during this assessment are: does the company have a proven record of successful implementation of solutions, do they have a roadmap for future developments and can they seamlessly integrate their AI on a large scale to be properly evaluated?
Finally, when it comes to IT considerations, you might want to ask how the system automatically matches algorithms to potential findings, whether suspected positive findings can be relayed in real time to all involved parties across departments, and whether AI is monitored for performance and data drift.
Despite the vast options, a thorough examination is necessary to find the right AI healthcare company for your system. By considering the main usage, selecting your AI partner carefully, and having the right IT measures in place, you can embark on your AI journey confidently. As AI technology becomes more established in clinical workflows, experts predict consolidation and an increase in healthcare executives forming long-lasting AI strategies. To stay updated with current clinical AI trends and insights, consider resources like Aidoc’s AI Learning Center.
